Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness (Lecture Notes in Business Information Processing) |
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| Jan Mendling |
| November 2008, Springer, Paperback, 193 pages, ISBN 3540892230
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| Business process modeling plays an important role in the management of business processes. As valuable design artifacts, business process models are subject to quality considerations. The absence of formal errors such as deadlocks is of paramount importance for the subsequent implementation of the process. In his book Jan Mendling develops a framework for the detection of formal errors in business process models and the prediction of error probability based on quality attributes of these models (metrics). He presents a precise description of Event-driven Process Chains (EPCs), their control-flow semantics and a suitable correctness criterion called EPC soundness. |
1 Business Process Management 1 2 Event-Driven Process Chains (EPC) 17 3 Verification of EPC Soundness 59 4 Metrics for Business Process Models 103 5 Validation of Metrics as Error Predictors 135 6 Implications for Business Process Modeling 151 A Transition Relation of EPCs Based on State and Context 155 References 165 Index 191
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